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Linear and Morphological Image Processing
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Organization: | University of Southern Maine |
Department: | Electrical Engineering |
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Version 4 of Mathematicaincludes a number of enhancements ewpecially relevant to the signal/image processing community. The introduction of an efficient internal representation for machine-precision numerical data, addition of import/export capabilities covering most signal and image interchange formts, and most importantly, the addition of a fast convolution operator have finally made it possible to use Mathematica as an effective platform for signal and image processing. In this article we take a close look at convolution and present a number of image rcessing operations that have a convolution-like implementation. This includes not only the better-known linear filters but also binary and grayscale morphological operators.
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http://www.mathematica-journal.com/issue/v8i1/features/jankowski/
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